Title :
Telecom customer segmentation with K-means clustering
Author :
Ye, Luo ; Qiu-ru, Cai ; Hai-xu, Xi ; Yi-jun, Liu ; Zhi-min, Yu
Author_Institution :
Sch. of Comput. Eng., Jiangsu Teachers Univ. of Technol., Changzhou, China
Abstract :
Development of data mining application is very important for the telecommunication enterprise, which is a typical data-intensive industry. Customer segmentation can help analyze customer composition accurately and promote the quality of service and marketing. Using K-means clustering and the commercial automatic data mining tool KXEN, the paper proposes a resolution of customer segmentation for Changzhou telecom in Jiangsu province. Results show that the resolution is effective and successful.
Keywords :
customer services; data mining; pattern clustering; telecommunication industry; Changzhou telecom; Jiangsu province; KXEN; automatic data mining tool; customer composition analysis; data-intensive industry; k-means clustering; telecom customer segmentation resolution; telecommunication enterprise; Algorithm design and analysis; Clustering algorithms; Data mining; Educational institutions; Market research; Telecommunications; Customer segmentation; K-means clustering; KXEN software; Telecom;
Conference_Titel :
Computer Science & Education (ICCSE), 2012 7th International Conference on
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4673-0241-8
DOI :
10.1109/ICCSE.2012.6295158
